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Mid-tier brand, metro role, mid-level generalist data engineer with broad cloud and Snowflake requirements.
Data engineering skills (Snowflake, Python, Airflow, DBT) are broadly transferable across industries.
Explicit 2-6 years plus mandatory Snowflake, Airflow, DBT, Python and AWS technical requirements.
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Develop, maintain, and optimize scalable ETL/ELT data pipelines using Snowflake and modern data engineering tools.
Design and implement data models, transformation frameworks, and data integration solutions leveraging Airflow, DBT, Python, and AWS services.
Ensure data quality, governance, and operational support including troubleshooting production issues across enterprise cloud data platforms.
2-6 years of experience in data engineering roles.
Hands-on experience with Snowflake, Python, Apache Airflow, DBT, AWS Cloud Services (S3, Lambda, Glue, EC2, etc.), and strong SQL and data modeling skills.
Experience in ETL/ELT pipeline development and understanding of data warehousing concepts.
Locations: Bengaluru, Pune, Hyderabad, Chennai, Gurgaon; Employment Type: Full-Time.
Experienced with cloud-based data engineering focusing on Snowflake and AWS environments, capable of building enterprise-scale data transformation solutions.
Demonstrates strong analytical and problem-solving skills managing scalable data workflows and optimizing cloud data platforms.
Familiar with CI/CD, Git, data governance, and potentially holds Snowflake or AWS certifications, indicating readiness for complex data engineering challenges.